Project Details

Akcelerace vybraných evolučních výpočetních technik pro řešení úloh globální optimalizace.

Project Period: 1. 3. 2022 - 31. 12. 2022

Project Type: grant

Code: FIT/FSI-J-22-7980

Agency: Brno University of Technology

Program: Vnitřní projekty VUT

English title
Acceleration of selected evolutionary computing techniques for solving global optimization problems.
Type
grant
Keywords

combinatorial optimization, optimization, metaheuristics

Abstract

Optimization metaheuristics are one of the most effective methods for solving a large class of engineering problems. Examples of such tasks can be combinatorial optimization tasks such as job-shop scheduling, quadratic assignment problem, or general fulfillment problem. The limiting factor for the effective use of metaheuristics is the high computational complexity. The aim of the presented project is to create and verify accelerated implementations of advanced algorithms CMA-ES, HC12 and distributed GA.

Team members
Chlebík Jakub, Ing. (UPSY FIT VUT) , research leader
Jaroš Jiří, doc. Ing., Ph.D. (UPSY FIT VUT)
Jaroš Marta, Ing., PhD. (UPSY FIT VUT)
Publications

2023

  • JAROŠ Marta and JAROŠ Jiří. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In: Job Scheduling Strategies for Parallel Processing. JSSPP 2022. Lecture Notes in Computer Science, LNCS 13592, vol. 13592. Virtual Event: Springer Nature Switzerland AG, 2023, pp. 152-171. ISBN 978-3-031-22697-7. Detail

2022

  • JAROŠ Marta and JAROŠ Jiří. k-Dispatch's Performance Modules for Advanced Workflow Submission. Soláň, 2022. Detail
  • JAROŠ Marta, TREEBY Bradley E. and JAROŠ Jiří. k-Plan: from the Hospital to the Cluster and back. Ostrava, 2022. Detail
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